Mid Level Quantitative Research Analyst Jobs
Mid level quantitative research analyst jobs go to analysts ready to own research projects end to end, translate complex models into actionable insights, and guide junior team members without needing day-to-day direction. Openings run across Investment & Asset Management, Banking & Financial Services, and Fintech, with a strong mix of on-site, hybrid, and remote roles, and employers like JPMorganChase, PIMCO, and IMC Financial Markets hiring at this level now.
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Job Description
Modernize how CMBS deals get done. Partner across Banking, Trading, Underwriting, and Technology to streamline workflows, strengthen data quality, and deploy AI-enabled tools that accelerate origination, execution, and asset management.
Job Summary
As an Analyst on the Quantitative Trading & Research team, you will be an embedded Quantitative Strategist within the CMBS business, applying AI engineering, analytics, and automation across the full deal lifecycle — origination, execution, portfolio monitoring, and reporting. You will have direct exposure to senior investment professionals and broad coverage of CRE finance and structured credit markets.
Job Responsibilities
- Build working knowledge of CMBS/CRE deal workflows; target high-impact automation opportunities
- Design and deploy ML/LLM solutions that reduce turnaround time, minimize errors, and sharpen analytical insight
- Build document-intelligence tools to summarize and extract structured data from legal, underwriting, and ac Materials
- Deliver controlled draft-generation workflows for front-office content (investment summaries, credit memos, IC materials) with human-in-the-loop review
- Build Python tools and data pipelines for market monitoring, deal sourcing, scenario analysis, and portfolio performance reporting
- Partner with Technology and business stakeholders to embed solutions into origination, distribution, risk, and asset-management systems, including third-party data platforms
Required Qualifications, Capabilities, And Skills
- Bachelor's or higher in a quantitative discipline (CS, Engineering, Data Science, Finance, Real Estate)
- 3+ years as a quantitative strategist or in a related role — quantitative finance, data engineering, or applying ML/LLMs to production workflows
- Strong Python; proven ability to build reliable tools and pipelines on a centralized data warehouse and platform framework
- Hands-on with structured and unstructured data; familiarity with vector databases, fine-tuning, evaluation frameworks, and RAG/MCP patterns for LLM integration
- Ability to decompose complex workflows, identify root causes, and deliver scalable improvements with minimal supervision
- Strong written and verbal communication; able to convey technical concepts to credit and non-technical partners
- Strong cross-functional partnering across Banking, Trading, Underwriting, and Technology
Preferred Qualifications, Capabilities, And Skills
- Experience embedding AI and analytics into front-office workflows on AWS and enterprise systems; rapid prototyping in deal-driven environments
- Working knowledge of and background in CMBS/CRE origination, underwriting, securitization, surveillance, or structured credit modeling
- Familiarity with CMBS relative value analytics, financing facilities, collateral monitoring, and mark-to-market
About us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About The Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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Top Industries Hiring
- Investment & Asset Management
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Mid Level Quantitative Research Analyst Jobs: Frequently Asked Questions
How do I get a mid level quantitative research analyst job?
Position yourself around ownership: highlight research you designed and executed independently, not just tasks you contributed to. Emphasize the decisions your models or analyses informed and any cross-functional collaboration you led. Strong candidates at this level show command of statistical methodology, programming proficiency, and the ability to communicate findings to non-technical stakeholders. Tailor each application to the specific domain the employer works in.
Which companies hire mid level quantitative research analysts?
Companies hiring mid level quantitative research analysts right now include JPMorganChase, PIMCO, and IMC Financial Markets, based on current listings on Migrate Mate as of August 2026. At this level, hiring covers investment management firms, technology companies, financial services institutions, and research-driven organizations that run ongoing quantitative programs rather than one-off projects.
Are there remote mid level quantitative research analyst jobs?
Yes, though availability varies by employer and sector. About 18% of mid level quantitative research analyst openings are remote or hybrid as of August 2026, reflecting how much of this work centers on data and modeling rather than in-person collaboration. Fully remote roles tend to be more common at technology firms and data-intensive financial companies.
How do I move up to a mid level quantitative research analyst role?
The path from entry level to mid level is built through progressively independent work. Start by deepening your technical foundation in statistics, programming languages like Python or R, and domain-specific modeling techniques. Seek out projects where you own a deliverable, not just a task. Demonstrating measurable impact, such as a model that improved a decision process, signals readiness for mid level responsibility more convincingly than tenure alone.
Which industries hire the most mid level quantitative research analysts?
Mid Level quantitative research analyst roles concentrate in Investment & Asset Management, Banking & Financial Services, and Fintech, based on current listings on Migrate Mate as of August 2026. These sectors drive demand because they rely on rigorous data analysis and predictive modeling to inform high-stakes decisions, creating ongoing need for analysts who can work with minimal oversight.